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Regular version of the site

Mathematics and Statistics

2024/2025
Academic Year
ENG
Instruction in English
5
ECTS credits
Course type:
Elective course
When:
1 year, 3 module

Instructors


Гуревич Андрей Михайлович

Course Syllabus

Abstract

The goal of the course Mathematics and Statistics is to study basic concepts of algebra, geometry, analysis, probability theory and mathematical statistics at the level that would allow students to solve applied problems that require the use of mathematical apparatus. The course materials can be used for the further study and application of methods aimed at solving problems from different fields of knowledge, for the definition and study of mathematical models for such problems. This discipline will allow the students of the Department of Applied Political Science to study the mathematical and statistical components of their professional education.
Learning Objectives

Learning Objectives

  • The goal of this course is to introduce the students to the basic mathematical notions and techniques needed to perform mathematical modeling and statistical analysis.
Expected Learning Outcomes

Expected Learning Outcomes

  • know the basic concepts and properties of matrices
  • be able to calculate the determinant and apply its properties
  • be able to explore system of linear algebraic equations using Cramer's formulas
  • be able to solve linear algebraic equations system by Gauss method
Course Contents

Course Contents

  • 1. Elements of Linear Algebra
  • 2. Fundamentals of mathematical analysis
  • 3. Probability spaces
  • 4. Random variables
  • 5. Statistical estimation and hypothesis testing
Assessment Elements

Assessment Elements

  • non-blocking Quiz
  • non-blocking Test
  • non-blocking Homework
  • non-blocking Exam
Interim Assessment

Interim Assessment

  • 2024/2025 3rd module
    0.4 * Exam + 0.1 * Homework + 0.2 * Quiz + 0.3 * Test
Bibliography

Bibliography

Recommended Core Bibliography

  • Fuad Aleskerov, Hasan Ersel, & Dmitri Piontkovski. (2011). Linear Algebra for Economists. Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.b.spr.sptbec.978.3.642.20570.5

Recommended Additional Bibliography

  • Ford, W. (2015). Numerical Linear Algebra with Applications : Using MATLAB (Vol. First edition). London: Academic Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=485990

Authors

  • Kumacheva Suriia Shakirovna
  • BRODSKAYA NATALYA NIKOLAEVNA